CN112345877A - Power transmission line fault positioning method based on combination of high-precision time base and distance weight - Google Patents
Power transmission line fault positioning method based on combination of high-precision time base and distance weight Download PDFInfo
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- CN112345877A CN112345877A CN202010953607.7A CN202010953607A CN112345877A CN 112345877 A CN112345877 A CN 112345877A CN 202010953607 A CN202010953607 A CN 202010953607A CN 112345877 A CN112345877 A CN 112345877A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/085—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution lines, e.g. overhead
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
- Y04S10/52—Outage or fault management, e.g. fault detection or location
Abstract
The invention discloses a power transmission line fault positioning method based on combination of high-precision time base and distance weight, which comprises the following steps: s1: acquiring a fault circuit signal of the power transmission line; s2: identifying the traveling wave head of the power transmission line; s3: judging a fault section of the power transmission line; s4: establishing a transmission line fault distance matrix; s5: and calculating the fault position of the transmission line. The invention provides a high-precision traveling wave fault positioning method for distributed current traveling wave monitoring considering current traveling wave transmission attenuation characteristics.
Description
Technical Field
The invention relates to the technical field of power transmission line fault positioning, in particular to a power transmission line fault positioning method based on combination of high-precision time base and distance weight.
Background
In the 21 st century, with the development of new capital construction vigorously promoted by the nation, the demand of production and living for electric energy is increasing day by day. In order to meet the demand of power supply, improve the transmission capacity of transmission lines and reduce the power loss during transmission, the state is vigorously building high-voltage, ultrahigh-voltage and extra-high-voltage transmission lines.
The transmission line is used as a component of an electric power system, plays an important role in electric power transmission, ensures the stability and reliability of electric power, and is easy to cause faults due to natural or artificial reasons such as ice coating, lightning stroke, bird damage, external force damage and the like. Therefore, in order to guarantee stable supply of electric power, after the transmission line breaks down, the transmission line fault is quickly and accurately positioned, so that a maintainer can timely overhaul the fault position and accelerate the overhaul progress.
At present, the transmission line fault positioning method mainly comprises two main types of fault analysis method and traveling wave positioning method. In the fault analysis method, due to the influence of asymmetric impedance and transition resistance, a distance measurement equation has a pseudo root, and the positioning accuracy has a larger error relative to a traveling wave positioning method. And fault positioning is carried out by a traveling wave positioning method according to the time difference between the double-end current monitoring points. However, the traditional traveling wave positioning method has relatively large calculated positioning errors due to less arrangement of current monitoring points, and the traditional method does not consider the current traveling wave transmission attenuation characteristic, so that the measured errors are larger when the distance of the propagation process is longer. Therefore, the accuracy of the traveling wave positioning method needs to be improved by setting distributed current monitoring points in consideration of the relationship between the current propagation distance and the signal reliability.
Disclosure of Invention
The invention provides a high-precision traveling wave fault positioning method for distributed current traveling wave monitoring, which considers the transmission attenuation characteristic of current traveling waves and aims to solve the problems that a distance measurement equation in the prior art has a pseudo root, a large error exists in positioning precision and the measured error is larger as the distance in the propagation process is farther.
In order to achieve the purpose, the invention adopts the following technical scheme:
the technical scheme adopted by the invention for solving the technical problems is as follows: a power transmission line fault positioning method based on combination of a high-precision time base and distance weights comprises the following steps:
s1: acquiring a fault circuit signal of the power transmission line;
s2: identifying the traveling wave head of the power transmission line;
s3: judging a fault section of the power transmission line;
s4: establishing a transmission line fault distance matrix;
s5: and calculating the fault position of the transmission line. .
Preferably, the step S1 includes the following specific steps: arranging p fault current monitoring points on the power transmission line, installing 1 group of three-phase fault recording acquisition devices at each monitoring point, and acquiring three-phase current data Ia, Ib and Ic by using the fault recording acquisition devices; and decoupling three-phase current signals of the power transmission line according to the karenbauer transformation to obtain 0 modulus values of fault current data of p monitoring points.
Preferably, the step S2 includes the following specific steps: respectively carrying out signal decomposition processing on the 0 modulus values of the fault current data of the p monitoring points by using a self-adaptive local iterative filtering algorithm, and obtaining various modal components IMF1, IMF2, … … and IMFn after decomposition; and (4) taking IMF1 modal components, performing energy operator calculation on the modal components, and judging the traveling wave head according to the size of the energy operator.
Preferably, the step S3 includes the following specific steps: sequentially judging the polarities of p groups of fault phase currents by using the collected p groups of three-phase fault current signals; grouping the polarities of p groups of fault phases according to the continuity of the polarities of p groups of fault phase currents to obtain two groups of fault current signals with opposite polarities; and finally, judging the section where the fault occurs by the group of the fault current signals with opposite polarities.
Preferably, the step S4 includes the following specific steps: calculating the traveling wave head identified by each current monitoring point to obtain the traveling wave head time; calculating the distance from the fault occurrence point to each current monitoring point based on a traveling wave positioning principle; and establishing a distance matrix between the fault occurrence point and the current monitoring point.
Preferably, the step S5 includes the following specific steps: according to the attenuation characteristic of current propagation, constructing a reliability relation and a weight coefficient of a fault distance and a fault traveling wave signal; establishing a weight coefficient matrix of a fault distance and a fault traveling wave transmission distance to a current monitoring point; calculating a distance matrix from a fault occurrence point to the transformer substation M; and calculating the distance from the fault occurrence point to the transformer substation M according to the distance matrix.
Preferably, the fault recording acquisition device of each current monitoring point in step S1 needs to use a GPS second pulse signal as a synchronous sampling signal.
Preferably, in step S3, the current monitor point numbers at the left end of the failure occurrence point are 1,2,3, L, and m in this order, and the current monitor point numbers at the right end are 1,2,3, L, and n in this order, and m + n is p.
Preferably, the step S4 includes the steps of:
s41: and calculating the traveling wave head time according to the traveling wave head identified by each current monitoring point. Wherein the traveling wave head time identified by the current monitoring point at the left end of the fault occurrence point is tiThe traveling wave head time identified by the current monitoring point at the right end of the fault occurrence point is tj;
S42: by utilizing the traveling wave positioning principle, the distance between the fault occurrence point and the ith current monitoring point at the left end is calculated as
In the formula, LijCalculating parameters of a current monitoring point i at the left end of the fault occurrence point and a current monitoring point j at the right end of the fault occurrence point, wherein v is the propagation speed of traveling waves;
s43: and (3) constructing a distance matrix from the fault occurrence point to each current monitoring point at the left end by using the data obtained by calculation in the step Step4.2, namely
Preferably, the step S5 includes the steps of:
s51: the fault distance obtained by the step S42 is used for constructing the relation between the travelling wave signal reliability and the fault distance according to the travelling wave transmission attenuation characteristic
In the formula, alphaijRepresenting the reliability of the fault distance calculated by the ith current monitoring point at the left end of the fault occurrence point and the jth current monitoring point at the right end; the weight coefficient of the transmission distance of the fault traveling wave is obtained by using the reliability
S52: using the weight coefficient of the transmission distance of the traveling fault wave in the step S51, a weight coefficient matrix of the transmission distance of the traveling fault wave from the fault occurrence point to the left current monitoring point is constructed as
S53: constructing a weight distance matrix P by using the fault traveling wave transmission distance weight coefficient matrix in the step S52 and the distance matrix from the fault occurrence point to each current monitoring point at the left end in Step4.3
S54: using the fault distance matrix of S53, a weight distance matrix from the fault occurrence point to the substation M can be obtained as
In the formula, q1 q2 L qm-1 qmRow elements of the weight distance matrix Q;
s55: the distance from the fault occurrence point to the substation M can be obtained by using the weight distance matrix in S54
In the formula, qiBeing elements of a weight coefficient matrix Q, Qi=ωi1x1i+ωi2x2m+ωmnxnm+(m-i)l。
Therefore, the invention has the following beneficial effects: establishing a relation between a fault distance and reliability by combining with the transmission attenuation characteristics of the traveling wave current of the power transmission line, and adopting a distributed current monitoring point arrangement mode; has higher positioning precision.
Drawings
Fig. 1 is a schematic diagram of installation positions of distributed current traveling wave monitoring points of a double-ended power transmission line.
Detailed Description
The invention is further described with reference to the following detailed description and accompanying drawings.
Example (b): a transmission line fault positioning method based on combination of a high-precision time base and distance weights is disclosed, and as shown in figure 1, the method comprises the following steps:
s1: acquiring a fault circuit signal of the power transmission line; the specific process is as follows: arranging p fault current monitoring points on the power transmission line, installing 1 group of three-phase fault recording acquisition devices at each monitoring point, and acquiring three-phase current data Ia, Ib and Ic by using the fault recording acquisition devices; decoupling three-phase current signals of the power transmission line according to the karenbauer transformation to obtain 0 modulus values of fault current data of p monitoring points; the fault recording acquisition device of each current monitoring point needs to use a GPS second pulse signal as a synchronous sampling signal;
s2: identifying the traveling wave head of the power transmission line; the specific process is as follows: respectively carrying out signal decomposition processing on the 0 modulus values of the fault current data of the p monitoring points by using a self-adaptive local iterative filtering algorithm, and obtaining various modal components IMF1, IMF2, … … and IMFn after decomposition; taking IMF1 modal components, performing energy operator calculation on the IMF1 modal components, and judging the traveling wave head according to the size of the energy operator;
s3: judging a fault section of the power transmission line; the specific process is as follows: sequentially judging the polarities of p groups of fault phase currents by using the collected p groups of three-phase fault current signals; grouping the polarities of p groups of fault phases according to the continuity of the polarities of p groups of fault phase currents to obtain two groups of fault current signals with opposite polarities; finally, the section where the fault occurs can be judged through the group of fault current signals with opposite polarities; recording the serial numbers of current monitoring points at the left end of a fault occurrence point as 1,2,3, L and m in sequence, recording the serial numbers of current monitoring points at the right end as 1,2,3, L and n in sequence, and meeting the condition that m + n is equal to p;
s4: establishing a transmission line fault distance matrix; the specific process is as follows: calculating the traveling wave head identified by each current monitoring point to obtain the traveling wave head time; calculating the distance from the fault occurrence point to each current monitoring point based on a traveling wave positioning principle; establishing a distance matrix between a fault occurrence point and a current monitoring point;
s41: and calculating the traveling wave head time according to the traveling wave head identified by each current monitoring point. Wherein the traveling wave head time identified by the current monitoring point at the left end of the fault occurrence point is tiThe traveling wave head time identified by the current monitoring point at the right end of the fault occurrence point is tj;
S42: by utilizing the traveling wave positioning principle, the distance between the fault occurrence point and the ith current monitoring point at the left end is calculated as
In the formula, LijCalculating parameters of a current monitoring point i at the left end of the fault occurrence point and a current monitoring point j at the right end of the fault occurrence point, wherein v is the propagation speed of traveling waves;
s43: and (3) constructing a distance matrix from the fault occurrence point to each current monitoring point at the left end by using the data obtained by calculation in the step Step4.2, namely
S5: and calculating the fault position of the transmission line. The specific process is as follows: according to the attenuation characteristic of current propagation, constructing a reliability relation and a weight coefficient of a fault distance and a fault traveling wave signal; establishing a weight coefficient matrix of a fault distance and a fault traveling wave transmission distance to a current monitoring point; calculating a distance matrix from a fault occurrence point to the transformer substation M; calculating the distance from the fault occurrence point to the transformer substation M according to the distance matrix;
s51: the fault distance obtained by the step S42 is used for constructing the relation between the travelling wave signal reliability and the fault distance according to the travelling wave transmission attenuation characteristic
In the formula, alphaijRepresenting the reliability of the fault distance calculated by the ith current monitoring point at the left end of the fault occurrence point and the jth current monitoring point at the right end; the weight coefficient of the transmission distance of the fault traveling wave is obtained by using the reliability
S52: using the weight coefficient of the transmission distance of the traveling fault wave in the step S51, a weight coefficient matrix of the transmission distance of the traveling fault wave from the fault occurrence point to the left current monitoring point is constructed as
S53: constructing a weight distance matrix P by using the fault traveling wave transmission distance weight coefficient matrix in the step S52 and the distance matrix from the fault occurrence point to each current monitoring point at the left end in Step4.3
S54: using the fault distance matrix of S53, a weight distance matrix from the fault occurrence point to the substation M can be obtained as
In the formula, q1 q2 L qm-1qmRow elements of the weight distance matrix Q;
s55: the distance from the fault occurrence point to the substation M can be obtained by using the weight distance matrix in S54
In the formula, qiBeing elements of a weight coefficient matrix Q, Qi=ωi1x1i+ωi2x2m+ωmnxnm+(m-i)l。
Establishing a relation between a fault distance and reliability by combining with the transmission attenuation characteristics of the traveling wave current of the power transmission line, and adopting a distributed current monitoring point arrangement mode; has higher positioning precision.
Finally, it should also be noted that the above-mentioned list is only one specific embodiment of the invention. It is obvious that the invention is not limited to the above examples, but that many variations are possible. All modifications which can be derived or suggested by a person skilled in the art from the disclosure of the present invention are to be considered within the scope of the invention.
Claims (10)
1. A transmission line fault positioning method based on combination of a high-precision time base and distance weight is characterized by comprising the following steps:
s1: acquiring a fault circuit signal of the power transmission line;
s2: identifying the traveling wave head of the power transmission line;
s3: judging a fault section of the power transmission line;
s4: establishing a transmission line fault distance matrix;
s5: and calculating the fault position of the transmission line.
2. The method for positioning the fault of the power transmission line based on the combination of the high-precision time base and the distance weight as claimed in claim 1, wherein the step S1 comprises the following steps: arranging p fault current monitoring points on the power transmission line, installing 1 group of three-phase fault recording acquisition devices at each monitoring point, and acquiring three-phase current data Ia, Ib and Ic by using the fault recording acquisition devices; and decoupling three-phase current signals of the power transmission line according to the karenbauer transformation to obtain 0 modulus values of fault current data of p monitoring points.
3. The method for positioning the fault of the power transmission line based on the combination of the high-precision time base and the distance weight as claimed in claim 1, wherein the step S2 comprises the following steps: respectively carrying out signal decomposition processing on the 0 modulus values of the fault current data of the p monitoring points by using a self-adaptive local iterative filtering algorithm, and obtaining various modal components IMF1, IMF2, … … and IMFn after decomposition; and (4) taking IMF1 modal components, performing energy operator calculation on the modal components, and judging the traveling wave head according to the size of the energy operator.
4. The method for positioning the fault of the power transmission line based on the combination of the high-precision time base and the distance weight as claimed in claim 1, wherein the step S3 comprises the following steps: sequentially judging the polarities of p groups of fault phase currents by using the collected p groups of three-phase fault current signals; grouping the polarities of p groups of fault phases according to the continuity of the polarities of p groups of fault phase currents to obtain two groups of fault current signals with opposite polarities; and finally, judging the section where the fault occurs by the group of the fault current signals with opposite polarities.
5. The method for positioning the fault of the power transmission line based on the combination of the high-precision time base and the distance weight as claimed in claim 1, wherein the step S4 comprises the following steps: calculating the traveling wave head identified by each current monitoring point to obtain the traveling wave head time; calculating the distance from the fault occurrence point to each current monitoring point based on a traveling wave positioning principle; and establishing a distance matrix between the fault occurrence point and the current monitoring point.
6. The method for positioning the fault of the power transmission line based on the combination of the high-precision time base and the distance weight as claimed in claim 1, wherein the step S5 comprises the following steps: according to the attenuation characteristic of current propagation, constructing a reliability relation and a weight coefficient of a fault distance and a fault traveling wave signal; establishing a weight coefficient matrix of a fault distance and a fault traveling wave transmission distance to a current monitoring point; calculating a distance matrix from a fault occurrence point to the transformer substation M; and calculating the distance from the fault occurrence point to the transformer substation M according to the distance matrix.
7. The power transmission line fault location method based on the combination of the high-precision time base and the distance weight as claimed in claim 1, wherein the fault recording acquisition device of each current monitoring point in step S1 needs to use a GPS second pulse signal as a synchronous sampling signal.
8. The power transmission line fault location method based on the combination of the high-precision time base and the distance weight as claimed in claim 1, wherein in step S3, the serial numbers of the current monitoring points at the left end of the fault occurrence point are recorded as 1,2,3, L, m, and the serial numbers of the current monitoring points at the right end are recorded as 1,2,3, L, n, and m + n is satisfied as p.
9. The method for positioning the fault of the power transmission line based on the combination of the high-precision time base and the distance weight as claimed in claim 1, wherein the step S4 comprises the following steps:
s41: calculating traveling wave head time according to the traveling wave heads identified by the current monitoring points;
wherein the traveling wave head time identified by the current monitoring point at the left end of the fault occurrence point is tiThe traveling wave head time identified by the current monitoring point at the right end of the fault occurrence point is tj;
S42: by utilizing the traveling wave positioning principle, the distance between the fault occurrence point and the ith current monitoring point at the left end is calculated as
In the formula, LijCalculating parameters of a current monitoring point i at the left end of the fault occurrence point and a current monitoring point j at the right end of the fault occurrence point, wherein v is the propagation speed of traveling waves;
s43: and (3) constructing a distance matrix from the fault occurrence point to each current monitoring point at the left end by using the data obtained by calculation in the step Step4.2, namely
10. The method for positioning the fault of the power transmission line based on the combination of the high-precision time base and the distance weight as claimed in claim 1, wherein the step S5 comprises the following steps:
s51: the fault distance obtained by the step S42 is used for constructing the relation between the travelling wave signal reliability and the fault distance according to the travelling wave transmission attenuation characteristic
In the formula, alphaijRepresenting the reliability of the fault distance calculated by the ith current monitoring point at the left end of the fault occurrence point and the jth current monitoring point at the right end; the weight coefficient of the transmission distance of the fault traveling wave is obtained by using the reliability
S52: using the weight coefficient of the transmission distance of the traveling fault wave in the step S51, a weight coefficient matrix of the transmission distance of the traveling fault wave from the fault occurrence point to the left current monitoring point is constructed as
S53: constructing a weight distance matrix P by using the fault traveling wave transmission distance weight coefficient matrix in the step S52 and the distance matrix from the fault occurrence point to each current monitoring point at the left end in Step4.3
S54: using the fault distance matrix of S53, a weight distance matrix from the fault occurrence point to the substation M can be obtained as
In the formula, q1 q2 L qm-1 qmRow elements of the weight distance matrix Q;
s55: the distance from the fault occurrence point to the substation M can be obtained by using the weight distance matrix in S54
In the formula, qiBeing elements of a weight coefficient matrix Q, Qi=ωi1x1i+ωi2x2m+ωmnxnm+(m-i)l。
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